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Call for Conference on Statistical Practice Abstracts

1 May 2013 No Comment

A limited number of presentation abstracts submitted between May 14 and June 25 will be accepted for the 2014 Conference on Statistical Practice (CSP), to be held in Tampa, Florida, from February 20–22. Abstracts can be along any one of the following four broad themes:

Theme 1: Communication, Impact, and Career Development
The objective for this theme is to help participants develop skills and perspectives that will improve their personal effectiveness as statisticians in their roles as managers, strategists, consultants, and collaborators. We are seeking topics and presentations that will enable participants to return to their jobs with new ideas, techniques, and strategies to improve their ability to communicate effectively, have a greater impact on their organizations, and advance their careers. Potential topics include presentation and oral communication skills, career advancement and development, organizational impact, best practices in consulting and collaboration, leadership and management skills, and statistical ethics.

Theme 2: Data Modeling and Analysis
The objective for this theme is to provide conference participants with practical knowledge and techniques related to obtaining, creating, modeling, and analyzing data sets of various forms and sizes through the application of established statistical methods. Presentations should feature information relevant to all practicing applied statisticians, regardless of industry or field of expertise. Potential topics include linear models and modern regression methods; experimental design; econometrics and time series methods; categorical data analysis; sampling design, administration, and analysis; survival and reliability methods; methods for missing data; and nonparametric methods.

Theme 3: Big Data Prediction and Analytics
The objective for this theme is to look at current statistical and algorithmic practice and methods for solving prediction, decisionmaking, classification, and pattern recognition problems from extremely large, unconventional, and/or complex data. These include problems in business analytics and data mining. Presentations involving large data applications and topic surveys focused on tools and algorithms for large data applications are welcome. Potential topics include data mining and business analytics applications, exploring and modifying big data, topic surveys, ensemble modeling, model validation, and comparison approaches.

Theme 4: Software and Graphics
The objective for this theme is to help participants employ analysis or visualization methods using new or existing software. Presentations will focus on the use of computer software to describe, display, or analyze data. Discussions may involve new visualizations, new software, or methods of using existing software more effectively to display and explore data. Potential topics include software to describe, display, or analyze data and visualization methods to display or explore data.

Submission details are available on the CSP website.

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